Cognitive Radio Cognitive Network Simulator
Table of Contents:
Cognitive radio network is a new emerging research area recently. It enhances the existing software-defined radio , whose physical layer behavior is largely defined in software. Cognitive radio has the following characteristics . First, it is aware of its environment and its capabilities. Second, it is able to independently alter its physical layer behavior based on its previous experience and its current environment. Finally, it is capable of performing the complex adaptation strategies according to the cognitive cycle shown in . With these capabilities, when spectrum environment changes around cognitive user, it is capable of sensing these changes and independently changing its physical layer settings such as transmission power, channel selection and etc to meet some constraints or QoS requirements of the users.
Cognitive radio gains popularity in the research area
because it enables the current fixed spectrum channel assigned by FCC to be
utilized by the new users. For example, most of the spectrums assigned to TV
channels are idle most of the time, while wireless network users share a small
range of spectrum,
As cognitive radio research is emerging, more and more researchers are looking forward to a simulator that is suitable for cognitive radio. However, there is no existing simulator that is suitable for the demand of cognitive radio simulations. Many researchers implemented their algorithms for cognitive radios on existing network simulator such as NS-2 , OPNET , QUALNET . However, since these simulators are created for the ordinary wireless network, researchers can not easily implement their cognitive radio algorithms over those simulators. Hence, there is a demand to extend existing simulators to support cognitive radio simulators. We make use of existing NS-2 to extend it to support cognitive radio network simulation.
There are several reasons to base on NS-2 for the development of cognitive radio simulators. First, NS-2 is open source software. Any contributions to NS-2 are accessible by people around the world. Second, NS-2 provides an interface for users to configure different network protocol at each network layers, which is essential for simulation. Third, NS-2 already provides many radio models, such as 802.11, 802.16, 802.15.3, 802.15.4. Users can make use of these radio models for cognitive radio network simulations. Finally, NS-2 has incorporated with different topology and traffic generators, which enable users to create different simulation scenarios.
This cognitive radio cognitive network (CRCN) simulator is a
software based network simulator for network-level simulations. It is based on
open-source NS-2 (network simulator 2). CRCN simulator supports performance
evaluations for the proposed dynamic spectrum resource allocation, power
control algorithms, and the adaptive Cognitive Radio (CR) networking protocols
including the CR
The architecture block
diagram for this simulator is illustrated in Figure 1. CRCN simulator enables
the interface parameters transmission between different layers, as shown in
arrows with blue color. Users just need to replace their own Routing and